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Zhou, Yuchun – Measurement: Interdisciplinary Research and Perspectives, 2019
Using mixed methods to develop new scales is not a new idea since the 2000s. However, there exists inadequate literature that discusses scale development using mixed methods, with steps including how to design the study, how to implement the process, and how to conduct validation. This study proposes a hands-on model of using mixed methods to…
Descriptors: Mixed Methods Research, Test Construction, Construct Validity, Psychometrics
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Wang, Jue; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2016
The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…
Descriptors: Structural Equation Models, Measurement, Causal Models, Construct Validity
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Sessoms, John; Henson, Robert A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…
Descriptors: Literature Reviews, Classification, Models, Criticism